Stack AI, Inc.
The Role
We’re looking for a
Staff Backend Engineer
to own and evolve the backbone of StackAI’s platform. This is not just a coding role, it’s a
technical leadership
position where you’ll help
shape our architecture, guide our backend engineering direction , and set the standards for scalability, reliability, and developer excellence.
You’ll work closely with our founders and product leads to make long‑term architectural decisions that will define how we scale from thousands to millions of users.
What You’ll Do
Architect, design, and lead
the development of scalable backend systems powering our no-code AI platform.
Define long‑term backend strategy:
system design patterns, data modeling approaches, service boundaries, and infrastructure choices.
Mentor and elevate
other engineers by reviewing designs, sharing context, and driving best practices across backend development.
Integrate new AI models and data sources
as they are released, ensuring robust performance and reliability.
Collaborate cross‑functionally
with product, design, and frontend teams to translate user needs into elegant backend solutions.
Continuously evolve our infrastructure
for reliability, observability, and performance — proactively identifying and solving bottlenecks before they occur.
Advocate for technical excellence , balancing velocity with sustainable, maintainable design.
What We’re Looking For
Strong proficiency in
Python
and experience with
FastAPI
or similar modern web frameworks.
Deep understanding of
system design ,
database architecture , and
scaling distributed systems .
Hands‑on experience with
SQL and NoSQL
databases (e.g. Postgres, Supabase, SQLAlchemy).
Strong command of
cloud infrastructure (AWS: EC2, S3, RDS, Lambda)
and containerization ( Docker, Kubernetes ).
Proven ability to take ownership of complex backend projects from concept to production.
Excellent problem‑solving and communication skills; able to explain trade‑offs clearly and influence technical direction.
Comfortable in a
fast‑paced startup
where priorities evolve and impact is immediate.
Bonus Points
Experience building and deploying
AI‑driven applications
or
retrieval‑augmented generation (RAG)
pipelines.
Knowledge of
embedding generation
and
large‑scale data processing .
Familiarity with
LLM integrations , prompt orchestration, or fine‑tuning workflows.
Passion for AI, open‑source tooling, and empowering developers and non‑developers alike.
Why Join StackAI You’ll be joining a lean, high‑impact engineering team where
you’ll own a major slice of our technical future . This role is ideal for someone who wants to architect complex systems, mentor others, and play a key part in how we scale our platform and culture.
If you want to shape the AI infrastructure powering thousands of applications — and help define the best practices for how AI workflows are built, we’d love to talk.
More About StackAI Stack AI
is a no‑code drag‑and‑drop tool to quickly design, test, and deploy AI workflows that leverage Large Language Models (LLMs), such as ChatGPT, to automate any business process.
Our core value is to make it extremely easy to build arbitrarily complex AI pipelines using a visual interface that allows you to connect different data sources with different AI models.
Our customers use Stack AI to build applications such as:
Chatbots and Assistants : AI agents that interact with users, answer questions, and complete tasks, using your internal data and APIs.
Document Processing : apps to answer questions, summarize, and extract insights from any document, no matter how long.
Answer Questions on Databases : connect GPT‑like models to databases (such as Notion, Airtable, or Postgres) and ask questions about them.
Content Creation : generate tags, summaries, and transfer styles or formats between documents and data sources.
#J-18808-Ljbffr
Staff Backend Engineer
to own and evolve the backbone of StackAI’s platform. This is not just a coding role, it’s a
technical leadership
position where you’ll help
shape our architecture, guide our backend engineering direction , and set the standards for scalability, reliability, and developer excellence.
You’ll work closely with our founders and product leads to make long‑term architectural decisions that will define how we scale from thousands to millions of users.
What You’ll Do
Architect, design, and lead
the development of scalable backend systems powering our no-code AI platform.
Define long‑term backend strategy:
system design patterns, data modeling approaches, service boundaries, and infrastructure choices.
Mentor and elevate
other engineers by reviewing designs, sharing context, and driving best practices across backend development.
Integrate new AI models and data sources
as they are released, ensuring robust performance and reliability.
Collaborate cross‑functionally
with product, design, and frontend teams to translate user needs into elegant backend solutions.
Continuously evolve our infrastructure
for reliability, observability, and performance — proactively identifying and solving bottlenecks before they occur.
Advocate for technical excellence , balancing velocity with sustainable, maintainable design.
What We’re Looking For
Strong proficiency in
Python
and experience with
FastAPI
or similar modern web frameworks.
Deep understanding of
system design ,
database architecture , and
scaling distributed systems .
Hands‑on experience with
SQL and NoSQL
databases (e.g. Postgres, Supabase, SQLAlchemy).
Strong command of
cloud infrastructure (AWS: EC2, S3, RDS, Lambda)
and containerization ( Docker, Kubernetes ).
Proven ability to take ownership of complex backend projects from concept to production.
Excellent problem‑solving and communication skills; able to explain trade‑offs clearly and influence technical direction.
Comfortable in a
fast‑paced startup
where priorities evolve and impact is immediate.
Bonus Points
Experience building and deploying
AI‑driven applications
or
retrieval‑augmented generation (RAG)
pipelines.
Knowledge of
embedding generation
and
large‑scale data processing .
Familiarity with
LLM integrations , prompt orchestration, or fine‑tuning workflows.
Passion for AI, open‑source tooling, and empowering developers and non‑developers alike.
Why Join StackAI You’ll be joining a lean, high‑impact engineering team where
you’ll own a major slice of our technical future . This role is ideal for someone who wants to architect complex systems, mentor others, and play a key part in how we scale our platform and culture.
If you want to shape the AI infrastructure powering thousands of applications — and help define the best practices for how AI workflows are built, we’d love to talk.
More About StackAI Stack AI
is a no‑code drag‑and‑drop tool to quickly design, test, and deploy AI workflows that leverage Large Language Models (LLMs), such as ChatGPT, to automate any business process.
Our core value is to make it extremely easy to build arbitrarily complex AI pipelines using a visual interface that allows you to connect different data sources with different AI models.
Our customers use Stack AI to build applications such as:
Chatbots and Assistants : AI agents that interact with users, answer questions, and complete tasks, using your internal data and APIs.
Document Processing : apps to answer questions, summarize, and extract insights from any document, no matter how long.
Answer Questions on Databases : connect GPT‑like models to databases (such as Notion, Airtable, or Postgres) and ask questions about them.
Content Creation : generate tags, summaries, and transfer styles or formats between documents and data sources.
#J-18808-Ljbffr